Senior Data Pipeline Architect

3 days ago


San Francisco, California, United States Unreal Gigs Full time
Job Title: Senior Data Pipeline Developer

At Unreal Gigs, we're committed to building cutting-edge data pipeline solutions that enable efficient data ingestion, processing, and delivery. We're seeking a seasoned Senior Data Pipeline Developer to join our dynamic team and play a critical role in designing, building, and optimizing our data pipeline solutions.

Key Responsibilities:
  • Design and implement data pipeline solutions to ingest, process, and deliver data from various sources to target systems, ensuring data quality, integrity, and timeliness.
  • Develop and maintain data ingestion processes to collect data from diverse sources, including databases, APIs, files, and streaming sources, ensuring seamless data flow and interoperability.
  • Transform and cleanse data as it moves through the pipeline, applying business rules, data enrichment, and validation to meet business requirements and enable downstream analytics and reporting.
  • Implement workflow orchestration and automation solutions to schedule and manage data pipeline workflows, reducing manual intervention and improving operational efficiency.
  • Optimize data pipeline performance through parallel processing, partitioning, and other techniques, ensuring scalability and responsiveness for large-scale data processing needs.
  • Implement monitoring and alerting systems to track data pipeline performance and health, proactively identifying and resolving issues to minimize downtime and data loss.
  • Implement error handling and retry mechanisms to handle data processing failures and ensure data reliability and consistency.
  • Document data pipeline designs, processes, and best practices, providing clear and comprehensive documentation to facilitate understanding and collaboration among team members.
  • Collaborate with cross-functional teams, including data engineers, data scientists, and business analysts, to understand requirements and deliver data pipeline solutions that meet business needs.
  • Mentor junior developers, sharing expertise and best practices in data pipeline development, and facilitate knowledge sharing sessions within the team.
Requirements:
  • Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field.
  • 5+ years of experience in data engineering, with a focus on designing, building, and optimizing data pipeline solutions.
  • Proficiency in data pipeline technologies such as Apache Kafka, Apache NiFi, Apache Airflow, or similar.
  • Strong programming skills in languages such as Python, Java, or Scala, with experience in data processing frameworks like Apache Spark or Apache Beam.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, and services like AWS Glue, Azure Data Factory, or Google Dataflow.
  • Strong understanding of data integration concepts and techniques, with experience integrating data from diverse sources and systems.
  • Strong problem-solving skills and analytical thinking, with the ability to troubleshoot complex data pipeline issues and optimize system performance.
  • Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders.
Benefits:
  • Competitive salary: The industry standard salary for Senior Data Pipeline Developers typically ranges from $170,000 to $230,000 per year, depending on experience and qualifications.
  • Comprehensive health, dental, and vision insurance plans.
  • Flexible work hours and remote work options.
  • Generous vacation and paid time off.
  • Professional development opportunities, including access to training programs, conferences, and workshops.
  • State-of-the-art technology environment with access to cutting-edge tools and resources.
  • Vibrant and inclusive company culture with opportunities for growth and advancement.
  • Exciting projects with real-world impact at the forefront of data-driven innovation.


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